2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)最新文献_第2页

Performance Evaluation of WLAN Access Points Selection Metrics for Fingerprinting based Localization 基于指纹定位的无线局域网接入点选择指标的性能评估

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/UCC56403.2022.00070

Sohaib Bin Altaf Khattak, Moustafa M. Nasralla, M. Esmail, M. Marey, Nikumani Choudhury

{"title":"Performance Evaluation of WLAN Access Points Selection Metrics for Fingerprinting based Localization","authors":"Sohaib Bin Altaf Khattak, Moustafa M. Nasralla, M. Esmail, M. Marey, Nikumani Choudhury","doi":"10.1109/UCC56403.2022.00070","DOIUrl":"https://doi.org/10.1109/UCC56403.2022.00070","url":null,"abstract":"abstract Reliability and cost are essential elements to consider in all engineering network designs. In RF-localization systems, reliability can be defined as seamless coverage with precise and accurate localization. Cost-efficiency aims to reduce the infrastructure while simultaneously maintaining high accuracy. Both the cost and reliability can be associated with Access Points (APs) deployment. Therefore, it is paramount to study how to optimize the APs placement in RF-localization systems. To select the optimal AP configuration, different selection metrics are proposed. This paper investigates different AP placement and optimization strategies for WLAN fingerprinting indoor localization systems. Performance of selection metrics are evaluated experimentally in a realistic indoor environment. A fingerprinting database is developed by a grid spacing of 2m using 7 WLAN APs, by collecting Received Signal Strength (RSS) values using an Android smartphone app. The experimental results show, the AP configuration obtained by the metric combining the fingerprint difference metric with the geometric dilution of precision, results in high localization accuracy.","PeriodicalId":203244,"journal":{"name":"2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123302818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Scaling Data Analysis Services in an Edge-based Federated Learning Environment 在基于边缘的联邦学习环境中扩展数据分析服务

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/UCC56403.2022.00030

Alessio Catalfamo, Lorenzo Carnevale, A. Galletta, Francesco Martella, A. Celesti, M. Fazio, M. Villari

引用次数: 1

Message from the BlockCPS Workshop Chairs 来自BlockCPS工作坊主席的消息

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/ucc56403.2022.00075

引用次数: 0

Cloud Auto-scaling Auditing Approach using Blockchain 使用区块链的云自动缩放审计方法

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/UCC56403.2022.00068

Ahmad Alsharidah, M. Barati, Giacomo Bergami, R. Ranjan

引用次数: 0

Mobile-Kube: Mobility-aware and Energy-efficient Service Orchestration on Kubernetes Edge Servers Mobile-Kube: Kubernetes边缘服务器上的移动感知和节能服务编排

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/UCC56403.2022.00019

Saeid Ghafouri, Alireza Karami, D. B. Bakhtiarvand, Ali Akbar Saleh-Bigdeli, S. S. Gill, Joseph Doyle

{"title":"Mobile-Kube: Mobility-aware and Energy-efficient Service Orchestration on Kubernetes Edge Servers","authors":"Saeid Ghafouri, Alireza Karami, D. B. Bakhtiarvand, Ali Akbar Saleh-Bigdeli, S. S. Gill, Joseph Doyle","doi":"10.1109/UCC56403.2022.00019","DOIUrl":"https://doi.org/10.1109/UCC56403.2022.00019","url":null,"abstract":"In recent years Kubernetes has become the de facto standard in the realm of service orchestration. Despite its great benefits, there are still numerous challenges to make it compatible with decentralised cloud computing platforms. One of the challenges of mobile edge computing is that the location of the users is changing over time. This mobility will constantly alter the proximity of the users to their connected services. One solution to this problem is to regularly move services to computing nodes near the users. However, distributing the services in edge nodes only subject to user movements will result in the fragmentation of active nodes. This leads to having active nodes that do not use their full capacity. We have proposed a method called MobileKube to reduce the latency of Kubernetes applications on mobile edge computing devices while maintaining energy consumption at a reasonable level. An experimental framework is designed on top of real-world Kubernetes clusters and real-world traces of mobile users’ movements have been used to simulate the users’ mobility. Experimental results show that Mobile-Kube can achieve similar energy consumption performance to a heuristic approach that focuses on reducing energy consumption only while reducing the latency of services by 43%.","PeriodicalId":203244,"journal":{"name":"2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130646995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Applying Federated Learning in the detection of Freezing of Gait in Parkinson’s disease 应用联邦学习检测帕金森病步态冻结

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/UCC56403.2022.00037

J. Jorge, P. H. Barros, R. S. Yokoyama, D. Guidoni, Heitor S. Ramos, Nelson Luis Saldanha da Fonseca, L. Villas

引用次数: 2

NSDF-Catalog: Lightweight Indexing Service for Democratizing Data Delivery 民主化数据传递的轻量级索引服务

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/UCC56403.2022.00011

Jakob Luettgau, Christine R. Kirkpatrick, G. Scorzelli, Valerio Pascucci, G. Tarcea

{"title":"NSDF-Catalog: Lightweight Indexing Service for Democratizing Data Delivery","authors":"Jakob Luettgau, Christine R. Kirkpatrick, G. Scorzelli, Valerio Pascucci, G. Tarcea","doi":"10.1109/UCC56403.2022.00011","DOIUrl":"https://doi.org/10.1109/UCC56403.2022.00011","url":null,"abstract":"Across domains massive amounts of scientific data are generated. Because of the large volume of information, data discoverability is a challenge, especially for scientists who have not generated the data or are from other domains. As part of the NSF-funded National Science Data Fabric (NSDF) initiative, we developed a testbed to demonstrate that these boundaries to data discoverability can be overcome. In support of this effort, we identify the need for indexing large-amounts of scientific data across scientific domains. We propose NSDF-Catalog, a lightweight indexing service with minimal metadata that complements existing domain-specific and rich-metadata col-lections. NSDF-Catalog is designed to facilitate multiple related objectives within a flexible microservice to: (i) coordinate data movements and replication of data from origin repositories within the NSDF federation; (ii) build an inventory of existing scientific data to inform the design of next-generation cyberinfrastructure; and (iii) provide a suite of tools for discovery of datasets for cross-disciplinary research. Our service indexes scientific data at a fine-granularity at the file or object level to inform data distribution strategies and to improve the experience for users from the consumer perspective, with the goal of allowing end-to-end dataflow optimizations.","PeriodicalId":203244,"journal":{"name":"2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130246554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Developing a Secure Architecture for Internet of Medical Things Using Attribute-Based Encryption 基于属性加密的医疗物联网安全体系结构研究

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/UCC56403.2022.00028

Milad Ghanbarafjeh, M. Barati, O. Rana, R. Ranjan

{"title":"Developing a Secure Architecture for Internet of Medical Things Using Attribute-Based Encryption","authors":"Milad Ghanbarafjeh, M. Barati, O. Rana, R. Ranjan","doi":"10.1109/UCC56403.2022.00028","DOIUrl":"https://doi.org/10.1109/UCC56403.2022.00028","url":null,"abstract":"The Internet of Medical Things (IoMT) is a new paradigm in the IoT-based healthcare and medical applications which has brought many advantages to this. Increasing in the number of smart medical devices has led to security challenges within IoMT environments. Cryptography and other cuttingedge approaches have been widely used to mitigate the challenges and prevent sensitive data leakage. One of such approaches is the attribute-based encryption (ABE), which enables a fine-grained and flexible access control. However, the ABE does not provide a dynamic encryption mechanism when patients’ conditions change over the period of remote monitoring. To address this, we present a novel security architecture for IoMT that relies on ciphertext policy attributebased encryption (CP-ABE). The architecture applies a dynamic access structure for the encryption in accordance with the status of the medical data collected by IoMT devices. We define some new components mainly hosted on the IoMT gateways in order to encrypt and decrypt the medical data in the architecture. An IoMT use case is presented to show how our proposed architecture supports dynamic encryption in ehealthcare systems.","PeriodicalId":203244,"journal":{"name":"2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129005796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CNN-assisted Road Sign Inspection on the Computing Continuum 基于计算连续体的cnn辅助道路标志检测

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/UCC56403.2022.00038

Narges Mehran, R.-C. Prodan

{"title":"CNN-assisted Road Sign Inspection on the Computing Continuum","authors":"Narges Mehran, R.-C. Prodan","doi":"10.1109/UCC56403.2022.00038","DOIUrl":"https://doi.org/10.1109/UCC56403.2022.00038","url":null,"abstract":"Processing rapidly growing data encompasses complex workflows that utilize the Cloud for high-performance computing and the Fog and Edge devices for low-latency communication. For example, autonomous driving applications require inspection, recognition, and classification of road signs for safety inspection assessments, especially on crowded roads. Such applications are among the famous research and industrial exploration topics in computer vision and machine learning. In this work, we design a road sign inspection workflow consisting of 1) encoding and framing tasks of video streams captured by camera sensors embedded in the vehicles, and 2) convolutional neural network (CNN) training and inference models for accurate visual object recognition. We explore a matching theoretic algorithm named CODA [1] to place the workflow on the computing continuum, targeting the workflow processing time, data transfer intensity, and energy consumption as objectives. Evaluation results on a real computing continuum testbed federated among four Cloud, Fog, and Edge providers reveal that CODA achieves 50%-60% lower completion time, 33%-59% lower CO2 emissions, and 19%-45% lower data transfer intensity compared to two stateof-the-art methods.","PeriodicalId":203244,"journal":{"name":"2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129936418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance Impact of NVMe-Over-TCP on HDFS Workloads NVMe-Over-TCP对HDFS工作负载的性能影响

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI: 10.1109/UCC56403.2022.00059

Nikita Sharma, Ruihao Li, Qinzhe Wu, L. John

引用次数: 0